Evidence map›Paper›PMID 38512802›Full record

ArticlePloS one2024

Determining the hierarchical order by which intestinal tract, administered diet, and individual relay can shape the gut microbiome of fattening quails.

Giovanni Bertoldo, Chiara Broccanello, Alessandra Tondello, Silvia Cappellozza, Alessio Saviane, Attawit Kovitvadhi, Giuseppe Concheri, Marco Cullere, Piergiorgio Stevanato, Antonella Dalle Zotte and 1 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Giovanni BertoldoDepartment of Agronomy, Food, Natural Resources, Animals and Environment, DAFNAE, University of Padova, Padova, Italy.
Chiara BroccanelloDepartment of Agronomy, Food, Natural Resources, Animals and Environment, DAFNAE, University of Padova, Padova, Italy.ORCID 0000-0003-1276-5214
Alessandra TondelloDepartment of Agronomy, Food, Natural Resources, Animals and Environment, DAFNAE, University of Padova, Padova, Italy.
Silvia CappellozzaCouncil for Agricultural Research and Economics, Research Centre for Agriculture and Environment, Sericulture Laboratory of Padua, Padova, Italy.
Alessio SavianeCouncil for Agricultural Research and Economics, Research Centre for Agriculture and Environment, Sericulture Laboratory of Padua, Padova, Italy.ORCID 0000-0003-4372-5688
Attawit KovitvadhiDepartment of Physiology, Faculty of Veterinary Medicine, Kasetsart University, Bangkok, Thailand.
Giuseppe ConcheriDepartment of Agronomy, Food, Natural Resources, Animals and Environment, DAFNAE, University of Padova, Padova, Italy.ORCID 0000-0002-5812-8504
Marco CullereDepartment of Animal Medicine, Production and Health, MAPS, University of Padova, Padova, Italy.
Piergiorgio StevanatoDepartment of Agronomy, Food, Natural Resources, Animals and Environment, DAFNAE, University of Padova, Padova, Italy.
Antonella Dalle ZotteDepartment of Animal Medicine, Production and Health, MAPS, University of Padova, Padova, Italy.ORCID 0000-0001-9214-9504
Andrea SquartiniDepartment of Agronomy, Food, Natural Resources, Animals and Environment, DAFNAE, University of Padova, Padova, Italy.ORCID 0000-0002-1961-1165

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A bacterial metabarcoding approach was used to compare the microbiome composition of caecal and faecal samples from fattening Japanese quails (Coturnix coturnix japonica) fed three different diet regimes. The tested feedstuffs included (1) a commercial diet for fattening quails, (2) a commercial diet containing 12% full-fat silkworm (Bombyx mori) pupae meal, and (3) a commercial diet containing 12% defatted silkworm pupae meal. The aim of the experiment was to verify the relative effect of three variables (diet type, gut tract comparing caecum to rectum, and individual animal) in determining the level of bacterial community dissimilarity to rank the relevance of each of the three factors in affecting and shaping community composition. To infer such ranking, the communities resulting from the high-throughput sequencing from each sample were used to calculate the Bray-Curtis distances in all the pairwise combinations, whereby identical communities would score 0 and totally different ones would yield the maximum distance, equal to 1. The results indicated that the main driver of divergence was the gut tract, as distances between caecal and faecal samples were higher on average, irrespective of diet composition, which scored second in rank, and of whether they had been sampled from the same individual, which was the least effective factor. Simpson's species diversity indexes was not significantly different when comparing tracts or diets, while community evenness was reduced in full-fat silkworm diet-fed animals. The identities of the differentially displayed taxa that were statistically significant as a function of gut tract and diet regimen are discussed in light of their known physiological and functional traits.

Indexed as

Gastrointestinal MicrobiomeQuailAnimal FeedAnimalsCoturnixDiet

Identifiers

PMID38512802
PMCPMC10956773

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.